Evidence map›Paper›PMID 35307471›Full record

ArticleAmerican journal of infection control2022

Analysis of blood type for SARS-CoV-2 and correlation for disease acquisition in various sociodemographic groups including women of childbearing age.

Maria L Vacca, Nikunj Vyas, Joshua Banks, Elaine Joyce, Cindy Hou, Benjamin E Leiby, Stefanie DeAngelo, Todd P Levin, Autum Shingler-Nace, Marilyn Mapp and 2 more

Abstract read
In one paragraph

Article in American journal of infection control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Maria L VaccaDirector of Infection Prevention, Thomas Jefferson University Hospitals, Philadelphia, PA. Electronic address: maria.vacca@jefferson.edu.
Nikunj VyasClinical Pharmacist Infectious Diseases, Jefferson Health New Jersey, Stratford, NJ.
Joshua BanksDivision of Biostatistics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
Elaine JoyceAVP Surgical Services, Jefferson Health New Jersey, Sewell, NJ.
Cindy HouDepartment of Infectious Diseases, Jefferson Health New Jersey, Cherry Hill, NJ.
Benjamin E LeibyDivision of Biostatistics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
Stefanie DeAngeloDepartment of Nursing, Jefferson Health New Jersey, Sewell, NJ.
Todd P LevinDepartment of Infectious Diseases, Jefferson Health New Jersey, Sewell, NJ 08080.
Autum Shingler-NaceVP Operations, Jefferson Health New Jersey, Sewell, NJ.
Marilyn MappDirector of Nursing, Women's and Children's Services, Jefferson Health New Jersey, Sewell, NJ.
Ashlee HiesterInfection Preventionist, Jefferson Health New Jersey, Sewell, NJ.
Jonathan H CoughenourDepartment of Nursing, Jefferson Health New Jersey, Sewell, NJ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple studies have occurred to determine if a patient's blood type, Rhesus factor (Rh), and sociodemographic attributes contribute to contracting SARS-CoV-2. True association remains unknown.

methodsInclusion criteria included in-patients who were tested for SARS-CoV-2 with blood type assessed. Study endpoints combined ABO, Rh and all-cause inpatient mortality (ACIM) with testing positivity. Pregnancy status was one of several secondary endpoints evaluated. A logistic regression analysis was used to estimate association.

resultsOf the 27,662 patients who met inclusion criteria, Type A blood was associated with increased positivity [1.01 (1.0-1.21), P = .03]. Type B [1.10 (0.99-1.23), P = .08] and AB [0.98 (0.81-1.19), P = .84] showed no association. When evaluating ACIM, type A [1.18 (0.91-1.52), P = .22], B [1.13 (0.82- 1.56), P = .480], and AB [1.06 (0.62-1.81), P = .839] were not associated with increased mortality. The female subgroup was less likely to test positive [0.88 (0.82-0.986), P = .002]. Black patients demonstrated a higher likelihood of positivity when compared to White [1.96 (1.79-2.14), P < .001]. Non-pregnant women exhibited a 2.5 times greater likelihood of testing positive [2.49 (2.04-3.04), P < .001].

conclusionsThis study confirms results of previous research which showed SARS-Co-V-2 positivity related to blood type. It also confirms more recent research demonstrating inequities related to acquisition of SARS-CoV-2 for certain sociodemographic groups. Larger studies are warranted to confirm and further explore novel pregnancy findings.

Indexed as

COVID-19SARS-CoV-2FemaleHumansPregnancyBlood typeChildbearing agePregnancySARS-CoV-2Sociodemographic factors

Identifiers

PMID35307471
PMCPMC8930776

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.